Rahul Mazumder

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Trevor HastieProfessor of Statistics, Stanford UniversityAdresse e-mail validée de stanford.edu
Dimitris BertsimasBoeing Professor of Operations Research, MITAdresse e-mail validée de mit.edu
Jerome FriedmanAdresse e-mail validée de stanford.edu
Robert TibshiraniProfessor of Biomedical Data Sciences, and of Statistics, Stanford UniversityAdresse e-mail validée de stanford.edu
Robert M. FreundMassachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Hussein HazimehMassachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Paul GrigasAssistant Professor, UC BerkeleyAdresse e-mail validée de berkeley.edu
Jason D. LeeAssistant Professor of Electrical Engineering, Princeton UniversityAdresse e-mail validée de princeton.edu
Reza Bosagh ZadehStanford and MatroidAdresse e-mail validée de stanford.edu
Peter RadchenkoUniversity of SydneyAdresse e-mail validée de sydney.edu.au
Bodhisattva SenColumbia University, New YorkAdresse e-mail validée de stat.columbia.edu
Will FithianAssistant Professor in Statistics, University of California BerkeleyAdresse e-mail validée de berkeley.edu
Martin S. CopenhaverMassachusetts General HospitalAdresse e-mail validée de mit.edu
B. S. MazumderProfessor, Fluvial Mechanics Laboratory, Physics and Applied Mathematics Unit, Indian StatisticalAdresse e-mail validée de isical.ac.in
Santanu S. DeyGeorgia Institute of TechnologyAdresse e-mail validée de isye.gatech.edu
Dennis SunData Scientist at Google; Professor at Cal PolyAdresse e-mail validée de calpoly.edu
Douglas McCauleyAssistant ProfessorAdresse e-mail validée de lifesci.ucsb.edu
Haihao (Sean) LuAssistant Professor, University of ChicagoAdresse e-mail validée de chicagobooth.edu
Aguemon Yves AtchadeProfessor of Statistics, Boston UniversityAdresse e-mail validée de bu.edu
Jie ChenMIT-IBM Watson AI Lab, IBM ResearchAdresse e-mail validée de us.ibm.com

Rahul Mazumder

Massachusetts Institute of Technology

Adresse e-mail validée de mit.edu - Page d'accueil

Statistics Mathematical Programming Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Spectral regularization algorithms for learning large incomplete matrices R Mazumder, T Hastie, R Tibshirani The Journal of Machine Learning Research 11, 2287-2322, 2010	1011	2010
SparseNet: Coordinate Descent With Nonconvex Penalties R Mazumder, JH Friedman, T Hastie Journal of the American Statistical Association 106 (495), 1125-1138, 2011	442	2011
Best subset selection via a modern optimization lens D Bertsimas, A King, R Mazumder Annals of statistics 44 (2), 813-852, 2016	396	2016
Matrix completion and low-rank SVD via fast alternating least squares T Hastie, R Mazumder, JD Lee, R Zadeh The Journal of Machine Learning Research 16 (1), 3367-3402, 2015	309	2015
The graphical lasso: New insights and alternatives R Mazumder, T Hastie Electronic journal of statistics 6, 2125, 2012	216	2012
Exact covariance thresholding into connected components for large-scale graphical lasso R Mazumder, T Hastie The Journal of Machine Learning Research 13 (1), 781-794, 2012	209	2012
An Extended Frank--Wolfe Method with “In-Face” Directions, and Its Application to Low-Rank Matrix Completion RM Freund, P Grigas, R Mazumder SIAM Journal on optimization 27 (1), 319-346, 2017	73	2017
Fast best subset selection: Coordinate descent and local combinatorial optimization algorithms H Hazimeh, R Mazumder Operations Research 68 (5), 1517-1537, 2020	61	2020
A computational framework for multivariate convex regression and its variants R Mazumder, A Choudhury, G Iyengar, B Sen Journal of the American Statistical Association 114 (525), 318-331, 2019	58	2019
Least quantile regression via modern optimization D Bertsimas, R Mazumder Annals of Statistics 42 (6), 2494-2525, 2014	55	2014
Subset selection with shrinkage: Sparse linear modeling when the SNR is low R Mazumder, P Radchenko, A Dedieu arXiv preprint arXiv:1708.03288, 2017	41	2017
The Discrete Dantzig Selector: Estimating Sparse Linear Models via Mixed Integer Linear Optimization R Mazumder, P Radchenko IEEE Transactions on Information Theory 63 (5), 3053-3075, 2017	34	2017
A new perspective on boosting in linear regression via subgradient optimization and relatives RM Freund, P Grigas, R Mazumder Annals of Statistics 45 (6), 2328-2364, 2017	33*	2017
Flexible low-rank statistical modeling with missing data and side information W Fithian, R Mazumder Statistical Science 33 (2), 238-260, 2018	26*	2018
Assessing the significance of global and local correlations under spatial autocorrelation: A nonparametric approach J Viladomat, R Mazumder, A McInturff, DJ McCauley, T Hastie Biometrics 70 (2), 409-418, 2014	25	2014
Non-negative matrix completion for bandwidth extension: A convex optimization approach DL Sun, R Mazumder 2013 IEEE International Workshop on Machine Learning for Signal Processing …, 2013	25	2013
Certifiably optimal low rank factor analysis D Bertsimas, MS Copenhaver, R Mazumder The Journal of Machine Learning Research 18 (1), 907-959, 2017	24	2017
Modeling item-item similarities for personalized recommendations on Yahoo! front page D Agarwal, L Zhang, R Mazumder The Annals of applied statistics, 1839-1875, 2011	21	2011
The trimmed lasso: Sparsity and robustness D Bertsimas, MS Copenhaver, R Mazumder arXiv preprint arXiv:1708.04527, 2017	19	2017
Statistics and machine learning via a modern optimization lens D Bertsimas INFORMS Annual Meeting, 2014	13	2014

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